MPPT_on_SMCONTROL

《医学图像编程技术》，周振环。一书的源码(the source code of the "medical picture programing")

利用模糊C聚类（FCM）的方法对彩色图像进行分割，期中可以用不通的特征向量来表征图像的特征(Using Fuzzy C-clustering (FCM) method for color image segmentation, mid-term feature vectors can be used unreasonable to characterize the image Feature)

说明：  使用opencv语言绘制所有轮廓后根据轮廓长度丢弃小轮廓(Opencv draw all contours of the language used under the contour length of the drop after the small contour)

基于小波模极大值算法来实现信号去噪，这是一维去噪程序代码。(Wavelet modulus maxima algorithm to achieve signal de-noising, which is one-dimensional de-noising procedure code.)

利用小波变换融合红外图像与可见光图像，提高图像质量(Infrared image and visible light image are fused by wavelet transform to improve image quality)

描述OFDM高峰均功率比（PAPR)的CCDF曲线，用MATLAB仿真的结果(Description OFDM peak-average power ratio (PAPR) of the CCDF curve, the results of simulation using MATLAB)

史上最快人脸检测系统（超越OpenCV）

图像去模糊处理，分别运用了维纳滤波器、deconvreg方法、deconvlucy方法、盲反卷积等方法。非常实用(Image deblurring processing, namely the use of the Wiener filter, deconvreg method, deconvlucy methods, blind deconvolution methods. Very useful)

图像处理，图像分割，图像变换，图像特征提取，图像增强，图像编码压缩(Image processing, image segmentation, image transformation, feature extraction)

（1）计算图像中每个像素点的LBP模式(等价模式,或者旋转不变+等价模式)。 （2）然后计算每个cell的LBP特征值直方图，然后对该直方图进行归一化处理(每个cell中，对于每个bin,h[i]/=sum,sum就是一副图像中所有等价类的个数)。 （3）最后将得到的每个cell的统计直方图进行连接成为一个特征向量，也就是整幅图的LBP纹理特征向量； 然后便可利用SVM或者其他机器学习算法进行分类识别了。((1) calculate the LBP pattern of each pixel in the image (equivalent mode, or rotation invariant + equivalent mode). (2) then the LBP eigenvalue histogram of each cell is calculated, and then the histogram is normalized (for each cell, for each bin, h[i]/=sum, sum is the number of all the equivalent classes in a pair of images). (3) finally, the statistical histogram of each cell is connected into a feature vector, that is, the LBP texture feature vector of the whole picture. Then, SVM or other machine learning algorithms can be used for classification and recognition.)